Authors: Shalini Bhandar
Abstract: The traditional process of vaccine development is often lengthy, costly, and complex, involving multiple stages from antigen discovery to clinical trials. The integration of artificial intelligence (AI) in vaccine research has the potential to revolutionize this field by accelerating the design, testing, and production of vaccines. AI-powered tools and machine learning algorithms facilitate rapid antigen identification, prediction of immune responses, optimization of vaccine candidates, and streamlined clinical trial management. This paper explores how AI is transforming vaccine development by reducing timelines, enhancing precision, and improving safety and efficacy. Challenges such as data availability, model reliability, and ethical considerations are discussed, alongside future perspectives on AI-driven vaccine innovation, especially highlighted by the COVID-19 pandemic.
DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.562
